朱丽娟，朱静媛，朱丽娟，郭雪萍，高希彤，郭国栋(Gordon) PY - 2020 DA - 2020/8/10 TI -人格对糖尿病患者移动医疗使用的影响:前瞻性前期研究JO - JMIR mHealth Uhealth SP - e17709 VL - 8 IS - 8kw -移动医疗KW -糖尿病KW -采用KW -积极利用KW -人格特质KW - app AB -移动健康技术(mHealth)干预措施正越来越多地被用于帮助改善糖尿病患者的自我管理;然而，这些干预措施并没有被大量患者采用，往往有很高的辍学率。患者的个性特征可能在应用程序的采用和积极使用中起着关键作用，但很少有研究关注这个问题。目的:本研究旨在解决人格特质与糖尿病患者移动健康治疗之间关系的理解空白。我们测试了人格特征的五因素模型(开放性、严谨性、外向性、亲和性和神经质)在移动健康采用偏好和积极利用中的作用。方法:我们开发了一个旨在鼓励糖尿病自我管理的移动健康应用程序(diassocial)。我们招募了98名糖尿病患者，每位患者自由选择接受标准治疗还是移动健康应用程序干预。在基线时评估患者人口统计信息和患者人格特征。收集应用程序使用数据以衡量用户对应用程序的使用情况。通过糖化血红蛋白(HbA1c水平)的实验室测量来评估患者的健康结果。 Logistic regression models and linear regression were employed to explore factors predicting the relationship between mHealth use (adoption and active utilization) and changes in health outcome. Results: Of 98 study participants, 46 (47%) downloaded and used the app. Relatively younger patients with diabetes were 9% more likely to try and use the app (P=.02, odds ratio [OR] 0.91, 95% CI 0.85-0.98) than older patients with diabetes were. Extraversion was negatively associated with adoption of the mHealth app (P=.04, OR 0.71, 95% CI 0.51-0.98), and openness to experience was positively associated with adoption of the app (P=.03, OR 1.73, 95% CI 1.07-2.80). Gender (P=.43, OR 0.66, 95% CI 0.23-1.88), education (senior: P=.99, OR 1.00, 95% CI 0.32-3.11; higher: P=.21, OR 2.51, 95% CI 0.59-10.66), and baseline HbA1c level (P=.36, OR 0.79, 95% CI 0.47-1.31) were not associated with app adoption. Among those who adopted the app, a low education level (senior versus primary P=.003; higher versus primary P=.03) and a high level of openness to experience (P=.048, OR 2.01, 95% CI 1.01-4.00) were associated with active app utilization. Active users showed a significantly greater decrease in HbA1c level than other users (ΔHbA1c=−0.64, P=.05). Conclusions: This is one of the first studies to investigate how different personality traits influence the adoption and active utilization of an mHealth app among patients with diabetes. The research findings suggest that personality is a factor that should be considered when trying to identify patients who would benefit the most from apps for diabetes management. SN - 2291-5222 UR - https://mhealth.www.mybigtv.com/2020/8/e17709 UR - https://doi.org/10.2196/17709 UR - http://www.ncbi.nlm.nih.gov/pubmed/32773382 DO - 10.2196/17709 ID - info:doi/10.2196/17709 ER -